Chaitanya Bharathi Institute of Technology

A Unified Hybrid Framework for Full-Reference and No-Reference Quality Assessment

Practical deployment of Image Quality Assessment (IQA) systems increasingly demands models that handle both full-reference (FR) and no-reference (NR) scenarios within a single deployable architecture, without compromising accuracy in either mode. Existing frameworks such as DisQU...

Numerical simulation of unsteady MHD bio-convective flow with Cattaneo-Christov heat flux over a stretching surface

Abstract The unsteady, two-dimensional, laminar boundary-layer flow of a viscous nanofluid containing gyrotactic microorganisms is examined over a permeable, radiative stretching sheet subject to an inclined magnetic field, Darcy resistance, internal heat generation, wall mass su...

Enhancing security in IoT consumer electronics through hybrid encryption and blockchain technology

Ensuring the safety of internet-connected Consumer Electronics has become a top priority in home automation industry due to the growing number of devices connected to the Internet and Consumer Electronics market. There are loopholes in wireless security that allow bad actors to a...

CATTANEO CRYSTOV EFFECT OF HYPERBOLIC TANGENT NANOFLUID FLOW OVER A STRETCHING SHEET

The intension of the analysis is to scrutinize the two- dimensional darcy-forchheimer impermeable boundary layer hyperbolic tangent fluid flow beyond the bounds of a non-linear stretching sheet. Suitable similar variables are exercised to transmute the governing partial different...

Slumbr - Sleep Quality Monitoring and Assessment System

Slumbr is a sleep quality monitoring and assessment system designed to help users understand and evaluate their sleep patterns using machine learning. The system collects sleep-related information such as sleep duration, sleep quality indicators, lifestyle factors, and other rele...

PREDICTING LATE DELIVERY RISK IN GLOBAL SUPPLY CHAIN OPERATIONS USING MACHINE LEARNING

This study develops a supervised machine-learning system for predicting late-delivery risk in a global supplychain and deploys it as an interactive analytics dashboard. Using the DataCo Global logistics dataset – 180,519 daily order records spanning 2015–2019 with 53 operational...